Command code subagent
Codex and Claude Code skill for running Command Code CLI as nested shard workers inside subagent workflows.
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Use when a main agent delegates research, analysis, review, or implementation through Command Code cmd CLI shards and needs a controller subagent, project-specific model routing, validation, or fallback handling.
SKILL.md
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Command Code Subagent
Delegate bounded cmd -p work through one controller subagent. Keep the controller responsible for planning, validation, and synthesis; use cmd only for narrow shards that add value.
Required Main-Agent Setup
Before dispatching the controller, the main agent must create and read a project-local routing file:
WORKSPACE="<absolute workspace path>"
ROUTING_FILE="$WORKSPACE/.commandcode-subagent/model-routing.md"
SKILL_DIR="${CLAUDE_SKILL_DIR:-<path-to-this-skill>}"
if [ ! -f "$ROUTING_FILE" ]; then
mkdir -p "$(dirname "$ROUTING_FILE")"
cp "$SKILL_DIR/references/project-model-routing.template.md" "$ROUTING_FILE"
fi
- Never overwrite an existing routing file: it belongs to the project user.
- Tell the user that they may edit this Markdown file to select available model IDs, fallbacks, and project constraints.
- Read the project file before choosing the controller or any shard model.
- Treat
references/model-routing.mdonly as a fallback when the project file leaves a role unspecified.
The main agent must dispatch the controller on a medium-capability model. Do not use the smallest, cheapest, lite, or flash tier for controller work merely to save cost. Choose the lowest-cost model that the active runtime classifies as medium capability; use high reasoning effort when supported. The project routing file is authoritative if it names a compatible medium model.
Main-Agent Dispatch
Pass only the focused task, relevant paths, and routing-file path—not broad session history:
Use command-code-subagent from <path-to-this-skill>.
You are the Command Code controller subagent. You are running on the project-selected medium-capability controller model.
Task:
<focused user task or path to task brief>
Workspace:
<absolute workspace path>
Project model routing:
<workspace>/.commandcode-subagent/model-routing.md
Constraints:
- Read the project model-routing file before planning or selecting cmd models.
- Shard only independent, bounded work; use cmd -p only when it adds value.
- Validate each accepted shard before an edit shard begins.
- If cmd reports auth, rate-limit, token/context-limit, or repeated max-turn failures, finish remaining work directly.
- Return one composed report with status, cmd runs, validation, and risks.
Controller Workflow
-
Read the project routing file. Preserve its choices unless a model is unavailable; then use its fallback or the bundled reference.
-
Check Command Code availability and current models:
command -v cmd && cmd --version && cmd --list-models | sed -n '1,120p' -
Create narrow shards: one question, subsystem, file group, or failing-test domain each. Run read-only shards first; run edit shards sequentially.
-
For large handoffs, use
.commandcode-subagent/shards/and.commandcode-subagent/results/instead of pasting large artifacts. -
Validate every accepted shard:
- Research/analysis: verify claims against repo files or cited docs.
- Edits: inspect
git diffand run the smallest meaningful tests. - Reviews: cite files and line numbers where possible.
-
Compose one concise report. Do not expose raw shard transcripts unless asked.
Run Cmd Shards
Use the project routing file's model for the shard role. If it omits a usable model, choose the least powerful available fallback that can finish in one or two turns.
python3 "$SKILL_DIR/scripts/cmd_shard.py" \
--cwd "$WORKSPACE" \
--model deepseek/deepseek-v4-flash \
--max-turns 10 \
--prompt-file .commandcode-subagent/shards/task-1.md
For a trusted implementation shard only:
python3 "$SKILL_DIR/scripts/cmd_shard.py" \
--cwd "$WORKSPACE" \
--model gpt-5.3-codex \
--mode edit \
--max-turns 20 \
--prompt-file .commandcode-subagent/shards/task-2.md
Use --mode edit or direct --yolo only in trusted workspaces and only for shards that must edit files or run shell commands. Default headless mode blocks writes and shell commands.
Shard Prompt Contract
You are a bounded Command Code shard worker.
Goal:
<one narrow objective>
Context:
<repo paths, failing tests, docs URLs, or artifact paths>
Constraints:
- Stay within this shard scope.
- Prefer existing project patterns.
- If editing, make the smallest coherent change.
- Report commands/tests run and exact failures.
Return:
- RESULT
- FILES READ OR CHANGED
- VALIDATION
- RISKS OR UNRESOLVED QUESTIONS
Do not build on a vague, unverified, or out-of-scope result. Re-run once with a clearer prompt or stronger routed model; then complete it directly.
Failure And Fallback
0: accept only after validation.3: unauthenticated—do not loop; complete directly or request login when required.4: permission/model denied—ifMODEL_NOT_IN_PLAN, use an available routed fallback or omit--model. Use edit mode only for trusted tasks that need it.5: rate-limited—stop creating cmd shards and complete directly.6or7: network/server error—retry one important shard once, then fallback.8, max turns, context, or token limit—split once; on repetition, fallback for that and similar shards.- Missing
cmdor unavailable model—usecmd --list-modelswhen possible, then complete directly if needed.
Mark direct completion as FALLBACK_USED; fallback is a control decision, not a failed result.
Final Controller Report
STATUS: DONE | DONE_WITH_CONCERNS | FALLBACK_DONE | BLOCKED
CMD RUNS:
- task-1: model, mode, exit code, accepted/retried/fallback
RESULT:
<composed answer or implementation summary>
VALIDATION:
- <commands run, files checked, tests passed/failed>
RISKS:
- <remaining uncertainty, skipped cmd shards, or manual follow-up>
Include changed paths and tests run, or explicitly state that no files changed.
What ships with it: 8 files
24.1 KB alongside SKILL.md, 2 of them executable
agents/
- openai.yaml220 B
references/
scripts/
- cmd_shard.pyruns4.3 KB
- .gitignore4.6 KB
- LICENSE1.0 KB
- quick_validate.pyruns3.8 KB
- README.md4.0 KB